Recent developments in multivariate methods using multiple scatter matrices seminar

Alkaa
Alkaa kello
14.00
Päättyy
Päättyy kello
16.00
Paikka

A312,  Arvo building, Kauppi campus

Järjestäjä(t)

Centre for Applied Statistics and Data Analytics (CAST)

The first Seminar by the Centre for Applied Statistics and Data Analytics (CAST) will be held at the School of Health Sciences, University of Tampere, Finland, at August 10th, 2016. It will gather researchers, other faculty and students interested in applied statistics and data analytics working at the University of Tampere and other Universities, Research Institutes and Companies.

The main aims of the seminar events by CAST are: (i) to bring awareness of the importance of statistics and data analysis in research; (ii) to create a forum of discussion where researchers present their work and research questions followed by discussion and feedback from the audience; (iii) strengthen the links between schools and research groups that might lead to future collaborations in terms of research articles and funding applications.

The visiting speakers of the seminar are Aurore Archimbaud (Universite Toulouse 1 Capitole), Markus Matilainen (University of Turku),  Klaus Nordhausen (University of Turku) and Joni Virta (University of Turku)

Please reserve your calendars accordingly and spread the information to whom it may concern. Registrations are requested at 8th August at the latest.

 

Wednesday, August 10th, 2016 (group room A312,  Arvo building in Kauppi)

14h00 – 14h05: Opening (Klaus Nordhausen)

14h05 – 14h30: Klaus Nordhausen : Is it `plug & play' or `plug & pray' in robust multivariate statistics?

14h30 – 15h00: Aurore Archimbaud : Components selection for multivariate outlier detection with ICS

15h00 – 15h30: Markus Matilainen : Some independent component analysis tools for time series data 

15h30 – 16h00: Joni Virta : Independent component analysis for tensor-valued data

 

The seminar's website: http://www.uta.fi/cast/events/Seminar1Aug16.html

Lisätietoja

For more information, please contact:

Ansa Lilja, ansa.lilja@staff.uta.fi